Literature DB >> 34680864

Myocardial Deformation Analysis in MYBPC3 and MYH7 Related Sarcomeric Hypertrophic Cardiomyopathy-The Graz Hypertrophic Cardiomyopathy Registry.

Viktoria Höller1, Heidelis Seebacher2, David Zach1, Nora Schwegel1, Klemens Ablasser1, Ewald Kolesnik1, Johannes Gollmer1, Gert Waltl3, Peter P Rainer1, Sarah Verheyen2, Andreas Zirlik1, Nicolas Verheyen1.   

Abstract

Accumulating evidence suggests that individuals with sarcomeric hypertrophic cardiomyopathy (HCM) carrying MYH7 mutations may have a worse prognosis than MYBPC3 mutation carriers. Myocardial deformation analysis is superior to standard echocardiography in detecting subtle myocardial dysfunction and scar formation, but studies evaluating the association with HCM genotype are scarce. We therefore aimed to compare myocardial strain parameters between MYBPC3 and MYH7 mutation carriers with proven HCM. Participants of the prospective Graz HCM Registry carrying at least one causative mutation in MYBPC3 (n = 39) or MYH7 (n = 18) were enrolled. MYBPC3 mutation carriers were older, predominantly male and more often treated with an implantable cardioverter-defibrillator (39% vs. 0%; p = 0.002). Using analyses of covariance, there were no significant differences between MYBPC3 and MYH7 mutation carriers with regard to left ventricular global longitudinal strain (estimated marginal means ± standard deviation: -16.9 ± 0.6% vs. -17.3 ± 0.9%; p = 0.807) and right ventricular 6-segments endocardial strain (-24.3 ± 1.0% vs. 26.3 ± 1.5%; p = 0.285). Our study suggests, that myocardial deformation analysis may not be helpful in concluding on the underlying HCM genotype, and vice versa.

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Keywords:  MYBPC3; MYH7; echocardiography; genotype-phenotype; hypertrophic cardiomyopathy; longitudinal strain; myocardial deformation analysis; speckle tracking

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Year:  2021        PMID: 34680864      PMCID: PMC8535960          DOI: 10.3390/genes12101469

Source DB:  PubMed          Journal:  Genes (Basel)        ISSN: 2073-4425            Impact factor:   4.096


1. Introduction

Sarcomeric hypertrophic cardiomyopathy (HCM) is a heritable cardiac disease affecting 1 in 200 to 500 people. While left ventricular hypertrophy is considered the hallmark of sarcomeric HCM, also the right ventricle can be affected. The clinical spectrum ranges from normal to severely impaired myocardial function leading to restrictive cardiomyopathy [1]. Pathogenic or likely pathogenic variants in sarcomere protein encoding genes can be identified in 40–60% of adolescents and adults affected by HCM. MYBPC3 (encoding cardiac myosin binding protein—C, cMyBPC) and MYH7 (encoding β cardiac myosin heavy chain) account for the majority of cases [2,3,4]. Accumulating evidence suggests that MYH7 mutations are associated with an earlier onset of symptoms [5,6,7], more pronounced hypertrophy and poorer prognosis when compared to MYBPC3 [8,9]. Both, MYH7 and MYBPC3 mutations affect the thick filament of the sarcomere [8], but via differing pathways. Regarding MYH7, more than 95% of known disease causing variants are missense mutations leading to integration of altered myosin into the sarcomere [10]. Most MYBPC3 mutations lead to diminished levels of cMyBPC in the sarcomere resulting in haploinsufficiency [11]. Mutations in both genes cause hyperdynamic contraction and poor relaxation of the myocardium [11]. Previous studies failed in the majority to demonstrate phenotypic differences between MYBPC3 and MYH7 mutation carriers. Some imaging studies were suggestive of a more severe phenotype in individuals carrying a pathogenic genetic variant in MYH7 mutations compared to MYBPC3, although differences were often marginal and non-significant [3,8,12]. Other studies found no significant differences with regard to parameters of left ventricular (LV) function and structure, and myocardial scar formation [13,14]. Most studies were, however, limited by their lack to assess myocardial deformation analysis which is superior to standard echocardiography in detecting myocardial scar formation [15]. Moreover, no study has yet reported on association between genotype and right ventricular deformation in sarcomeric HCM. Therefore, the aim of the present study was to compare echocardiographic characteristics applying myocardial deformation analysis of both the left and the right ventricle, on top of standard echocardiographic parameters in MYH7- and MYBPC3-associated HCM.

2. Materials and Methods

2.1. Design and Study Population

This is a cross-sectional analysis of the Graz HCM Registry (EC-No 30-286 ex 17/18). The Graz HCM Registry is a prospective cohort study launched in February 2019 and includes all patients aged over 18 years who are admitted to the HCM outpatient clinic of the Department of Cardiology of the Medical University of Graz, and provide written informed consent for participation. Registry procedures include a systematic transthoracic echocardiographic examination (TTE), a 12-lead electrocardiogram (ECG) and a structured patient interview. For the present study we included participants with genetically proven sarcomeric HCM [2]. Patients were excluded if no echocardiographic study recorded within 6 months before or after registry inclusion was judged adequate of LV speckle tracking analysis. Patients were enrolled between February 2019 and June 2021. Clinical characteristics were assessed at the day of echocardiographic examination. 12-lead-ECG, laboratory analysis, and medical history were in most cases assessed on the day of TTE, but at least during a period of 6 months before or after the TTE.

2.2. Clinical Characteristics and Medical History

Clinical and medication history were systematically assessed during the patient interview at registry inclusion and complemented using medical records. NYHA class > II was defined as breathlessness, fatigue or palpitations at less than ordinary activities, e.g., at walking distance less than 1000 m or walking uphill [16]. Sarcomeric HCM was defined as proven mutation either in MYBPC3 or MYH7 classified as pathogenic or likely pathogenic and enddiastolic left ventricular wall thickness of ≥13 mm evidenced by TTE [2,17]. Patients carrying mutations in other sarcomere genes were omitted. Left ventricular outflow tract (LVOT) obstruction was defined as maximal left ventricular outflow tract gradient ≥ 30 mmHg either at rest or during provocations such as Valsalva maneuver or bicycle stress testing [18]. Septal reduction therapy was defined as either surgical myectomy or percutaneous transluminal septal myocardial ablation (PTSMA).

2.3. Genetic Analysis

The results of performed genetic analyses were collected in the Graz HCM Registry and were retrospectively analyzed. Genetic testing had been performed with DNA from peripheral blood for routine clinical care at different diagnostic laboratories. Panel analyses were used to identify the causal variants in the index patients. Sanger sequencing was used for segregation analysis in family members. Only patients with a confirmed pathogenic or likely pathogenic mutation in MYBPC3 and MYH7 were included in the study (Tables S1–S3). Variant classification followed international guidelines for the interpretation of sequence variants [19].

2.4. Echocardiographic Assessment and Variables

All patients were examined at rest using Siemens Acuson SC 2000 and a 4Z1 transducer (Siemens AG, Erlangen, Germany). An ECG was recorded during each study to define end-diastole (ED) and end-systole (ES). Images and cine-loops with frame rates from 40 to 80 Hz were stored and digitally archived in IntelliSpace Cardiovascular (ISCV, Philips, Eindhoven, The Netherlands) [20]. All echocardiography derived parameters used in the present study are listed in Table 1. Standard echocardiographic and Doppler measurements were assessed according to EACVI recommendations [21,22,23]. Maximum ED interventricular septum thickness (IVSEDd) was measured in the apical four-chamber view at basal, midventricular and apical levels, respectively.
Table 1

Echocardiography derived parameters.

ChamberParameter
Left ventricleLVEF, Simpson’s biplane (%)LVEF, triplane, 2dCPA (%)
Transmitral E velocity (cm/s)
Septal annular e′ velocity (cm/s)
Lateral annular e′ velocity (cm/s)
LV E/e′ (average) ratioLV GLS, auto-strain (%)LV GLS, 2dCPA (%)
Left atriumLAVi (mL/m2)
Right ventricleRV basal ED diameter (mm)
RV wall thickness (mm)
TAPSE (mm)TRVmax (m/s)
Fractional area change (%)RVLS 6 segments, 2dCPA (%)RVLS free wall, 2dCPA (%)
Right atriumRAVi (mL/m2)

Abbreviations: LV, left ventricular; EF, ejection fraction; 2dCPA, two-dimensional cardiac performance analysis; E, transmitral early diastolic velocity; e′, mitral annular early diastolic velocity; LAVi, left atrial volume index; GLS, global longitudinal strain; RV, right ventricular; ED, end-diastolic; TAPSE, tricuspid annular plane systolic excursion; TRVmax, maximal tricuspid regurgitation velocity; RLVS, right ventricular longitudinal strain; RAVi, right atrial volume index.

2D speckle-tracking echocardiography (2D STE) was performed by experienced investigators (D.Z., N.S.) who were blinded to patients’ clinical characteristics, using the vendor-independent post-processing software TomTec-Arena including 2D Cardiac Performance Analysis (TomTec Imaging Systems, Munich, Germany). Cine-loops with the best image quality were selected for 2D STE. In patients with atrial fibrillation, special care was taken to choose cardiac cycles of similar duration. If tracking did not match the visual impression of wall motion, contours were readjusted until optimal tracking was achieved [24]. For the present study, we focused on endocardial strain analysis. LV global longitudinal strain (LV GLS) was calculated using the entire endocardial line length while computing LV deformation from the apical four-, three- and two-chamber views; conducted in two separate cardiac cycles whenever possible and reported as mean values. The endocardium was tracked as the region of interest using two different methods, once automatically generated (i.e., LV GLS auto) and once user-defined (i.e., LV GLS 2DCPA) [17]. Additionally, endomyocardial contouring by 2D Cardiac Performance Analysis was used to calculate ES and ED volumes of each apical view to subsequently compute a triplane ejection fraction of the left ventricle (LVEF) and to determine a triplane left ventricular basal ED diameter (LVEDd basal). Right ventricular (RV) longitudinal strain was calculated by averaging peak longitudinal systolic strain values of equal segment lengths of the free wall and septum (six segments, i.e., RV4CLS) as well as the free wall only (three segments, i.e., RVFWSL); obtained in the apical four-chamber view. ED was defined by tricuspid valve closure and ES as the moment at which the RV was at its smallest [25,26]. If feasible, measurements were performed in three different cardiac cycles and reported as mean values.

2.5. Statistical Analysis

Categorical variables were expressed as counts (percentages), continuous variables were shown as mean ± standard deviation (SD) in case of normal distribution or as medians with interquartile range if non-normally distributed. Distribution of variables was evaluated by test of Kolmogorov-Smirnov, kurtosis, skewness, concordance between the mean and median, and visual inspection. For univariate group comparisons, we used Mann-Whitney U test, Student’s t-test or Chi-Square test, as appropriate. In order to compare echocardiography derived parameters between MYBPC3 and MYH7 mutation carriers, analyses of covariance (ANCOVA) were used and adjusted for potentially confounding parameters including age, sex and history of septal reduction therapy. Means are reported as estimated marginal means and standard error derived from multivariate ANCOVA. Homogeneity of regression slopes was not violated with regard to the dependent variable, as the interaction terms were not statistically significant (p > 0.05). The residuals were normally distributed, as determined by the Kolmogorov-Smirnov test (p > 0.05). The assumptions of homogeneity of variances were found to be satisfied, as assessed by Levene’s test (p > 0.05). For all statistical analysis IBM SPSS Statistics Version 26 was used. The significance level α was set at 5%. Due to the exploratory character of the study we did not adjust for multiple testing.

3. Results

The cohort comprised 57 patients, including 39 (68%) with MYBPC3 mutation and 18 (32%) with MYH7 mutation. There was one patient with two disease causing mutations in MYBPC3 and one patient with a disease-causing mutation in MYBPC3 and MYH6. In 10 patients with MYBPC3 mutation and in six patients with MYH7 mutation, there was at least one additional variant of unknown significance (in MYH6, MYLK2, TTN, FLNC, RYR2, MYO6, TNNT2, MYPN, ILK, COX15, VCL, respectively).

3.1. Clinical Characteristics

Mean age was 49.1 ± 15.2 and 28 patients (49.1%) were females. Patients with MYBPC3 mutation were significantly older than those with MYH7 mutation (51.8 ± 14.4 vs. 41.4 ± 14.0 years; p = 0.013) and were less often female (n = 16, 41% vs. n = 12, 67%; p = 0.072). Patients carrying a MYBPC3 mutation had a lower estimated glomerular filtration rate (eGFR; 80.6 ± 22.4 vs. 100.6 ± 31.6 mL/min/1.73 m; p = 0.008) and were more often treated with a loop diuretic (21% vs. 0%; p = 0.038). Fifteen MYBPC3 mutation carriers had a previous implantation of an implantable cardioverter-defibrillator (ICD) compared with 0 patients carrying a MYH7 mutation (39% vs. 0%; p = 0.002). Nine patients received an ICD for primary prevention, and six patients for secondary prevention after survived sudden cardiac death (SCD). One SCD survivor with MYH7 mutation had refused ICD implantation for personal reasons. Atrial fibrillation was more common in MYBPC3 mutation carriers (31% vs. 6%; p = 0.035). Clinical characteristics are listed in more detail in Table 2.
Table 2

Clinical characteristics and medical history.

Whole Cohort (n = 57)MYBPC3 (n = 39)MYH7 (n = 18)t-Test/Pearson Chi2-Test
Characteristicsn (%) or Mean ± SDor Median (IQR)n (%) or Mean ± SDor Median (IQR)n (%) or Mean ± SDor Median (IQR)p Value
Female28 (49.1)16 (41.0)12 (66.7)p = 0.072
Age (years)49.07 ± 15.2451.82 ± 14.4041.44 ± 13.95 p = 0.013
Age at first diagnosis (years) 140.78 ± 15.5541.80 ± 14.6136.4 ±16.91p = 0.259
BMI (kg/m2) 227.52 ± 5.9026.55 ± 4.4729.59 ± 7.91p = 0.143
RR systolic (mmHg) 2134.73 ± 18.31135.88 ± 19.13132.33 ± 16.71p = 0.505
RR diastolic (mmHg) 280.32 ± 10.0479.71 ± 10.1881.61 ± 9.91p = 0.513
Heartrate (beats/min)67.39 ± 10.2068.44 ± 10.0465.11 ± 10.44p = 0.256
NYHA > II19 (33.3)15 (38.5)4 (22.3)p = 0.227
LVOT obstruction22 (38.6)16 (41.0)6 (33.3)p = 0.579
Loop diuretics8 (14.0)8 (20.5)0 p = 0.038
MRA5 (8.8)4 (10.3)1 (5.6)p = 0.560
Verapamil5 (8.8)4 (10.3)1 (5.6)p = 0.560
Amiodarone3 (5.3)2 (5.1)1 (5.6)p = 0.946
ACEI/ARB/ARNI12 (21.2)11 (28.2)1 (5.6)p = 0.051
NTproBNP (pg/mL)536 (193, 1470)817 (197, 2802)390 (164, 789)p = 0.158
eGFR (ml/min/1.73 m)86.89 ± 27.0780.55 ± 22.4100.62 ± 31.62 p = 0.008
History
Surgical myectomy3 (5.3)1 (2.6)2 (11.1)p = 0.179
PTSMA9 (15.8)7 (17.9)2 (11.1)p = 0.510
Mitral valve replacement/repair000
Survived sudden cardiac death7 (12.3)6 (15.4)1 (5.6) *p = 0.293
Hospitalization for WHF8 (14.0)7 (17.9)1 (5.6)p = 0.211
Arterial hypertension23 (40.4)17 (43.6)6 (33.3)p = 0.463
Stroke4 (7.0)4 (10.3)0p = 0.132
PE3 (5.3)2 (5.1)1 (5.6)p = 0.946
AF13 (22.8)12 (30.8)1 (5.6) p = 0.035
permanent4 (30.8 **)4 (33.3 **)0p = 0.159
paroxysmal8 (61.5 **)8 (66.7 **)1 (100 **)p = 0.150
ECG
Sinus rhythm48 (84.3)30 (77)18 (100) p = 0.026
Ventricular stimulated rhythm5 (8.8)5 (12.8)0p = 0.112
Atrial fibrillation4 (7.0)4 (10.3)0p = 0.159
QRS duration (ms)111.43 ± 33.67113.8 5 ± 37.72104.67 ± 21.65p = 0.251
LBBB19 (33.3)11 (28.2)8 (44.4)p = 0.227
RBBB11 (19.3)8 (20.5)3 (16.7)p = 0.732
Devices
Pacemaker15 (26.3)15 (38.5)0 p = 0.002
CRT1 (1.8)1 (2.6)0p = 0.493
ICD15 (26.3)15 (38.5)0 * p = 0.002
ICD shock4 (26.7 **)4 (26.7 **)
Primary prevention9 (60.0 **)9 (60.0 **)
Secondary prevention6 (40.0 **)6 (40.0 **)

1 MYBPC3 (n = 35) MYH7 (n = 15). 2 MYBPC3 (n = 38). * patient refused ICD therapy. ** Relative percentage. Bold, statistically significant. Abbreviations: SD, standard deviation, IQR, interquartile range; BMI, body mass index; RR, blood pressure; NYHA, New York Heart Association; LVOT, left ventricular outflow tract; MRA, mineral corticoid receptor antagonist; ACEI, angiotensin converting enzyme inhibitor; ARB, angiotensin receptor blocker; ARNI, angiotensin receptor neprilyin inhibitor; NTproBNP, N-terminal pro-brain natriuretic peptide; eGFR, estimated glomerular filtration rate; PTSMA, percutaneous transluminal septal myocardial ablation; WHF, worsening heart failure; PE, pulmonary embolism; AF, atrial fibrillation; LBBB, left bundle branch block; RBBB, right bundle branch block; CRT, cardiac resynchronization therapy; ICD, implantable cardioverter-defibrillator.

3.2. Echocardiographic Parameters

Using analyses of covariates (ANCOVA), there were no significant differences between MYBPC3 and MYH7 mutation carriers with regard to LV GLS (estimated marginal means ± standard error: −16.9 ± 0.6 vs.−17.3 ± 0.9; p = 0.807), as illustrated in Figure 1. The LV ejection fraction (Simpson method) was slightly lower in MYBPC3 mutation carriers when compared to MYH7 mutation carriers without reaching statistical significance (53.03 ± 1.2 vs. 55.4 ± 1.8; p = 0.338). Parameters of LV structure were similar between the groups.
Figure 1

Echocardiographic analysis of the left ventricle. Estimated marginal means and standard error adjusted for age, sex and septum reduction therapy, compared between MYBPC3 (dark blue) and MYH7 (light blue) mutation carriers. (a) Left ventricular strain analysis user—(LVGLS) (p = 0.807) and automatically (LVGLS auto) (p = 0.892) generated; (b) Ejection fraction of the left ventricle (%) measured biplane (Simpson) (p = 0.338) and triplane (p = 0.410) in %; (c) enddiastolic basal diameter of the left ventricle (LVd) (p = 0.693) and maximal enddiastolic thickness of the interventricular septum (IVSd) (p = 0.897).

The mitral annular early diastolic velocity (e′ average) was significantly higher in the MYBPC3 group (8.5 ± 0.4 vs. 6.8 ± 0.6 cm/s; p = 0.026), but in relation to the transmitral early diastolic velocity (E/e′) no significant difference could be observed (p = 0.630). The mean left atrial volume index (LAVi) was similar between both groups (MYBPC3 54.3 ± 4.7, MYH7 50.1 ± 7.2; p = 0.637), as shown in Figure 2.
Figure 2

Echocardiographic analysis of the diastolic function and the atrial volume. Estimated marginal means and standard error adjusted for age, sex and septum reduction therapy compared between MYBPC3 (dark orange) and MYH7 (light orange) mutation carriers. (a) ratio of early transmitral velocity to average velocity of the transmitral annulus (E/e′) (p = 0.630) and maximal tricuspid regurgitation velocity (TRVmax) (p = 0.390); (b) left atrial volume index (LAVi) (p = 0.637) and right atrial volume index (RAVi) (p = 0.443).

RV 6-segments endocardial strain was similar between MYBPC3 and MYH7 mutation carriers (−24.3 ± 1.0 vs. 26.3 ± 1.5; p = 0.285). Fractional area change of the right ventricle (RVFAC) showed significantly lower values in the MYBPC3 cohort (43.7 ± 1.7 vs. 52.4 ± 2.5; p = 0.007). Tricuspid annular plane systolic excursion (TAPSE) showed similar values in both groups (see Figure 3). All findings are resumed in Table 3.
Figure 3

Echocardiographic analysis of the right ventricle. Estimated marginal means and standard error adjusted for age, sex and septum reduction therapy and compared between MYBPC3 (dark green) and MYH7 (light green) mutation carriers. (a) Right ventricular strain analysis (RV4CLS) (p = 0.285) and strain analysis of the right free wall (RVFWLS) (p = 0.643); (b) right ventricular fractional area change (RVFAC) (p = 0.007), tricuspid annular plane systolic excursion (TAPSE) (p = 0.798); (c) enddiastolic basal diameter of the right ventricle (RVd) (p = 0.551) and enddiastolic thickness of the right ventricular free wall (RVWT) (p = 0.917).

Table 3

Echocardiographic parameters compared between MYBPC3 and MYH7 mutation carriers.

MYBPC3 (n = 39)MYH7 (n = 18)t-Test ANCOVA
Not AdjustedAdjustedNot AdjustedAdjusted
Mean ± SDor Median (IQR)Mean ± SEMean ± SDor Median (IQR)Mean ± SEp Valuep Value
Sinus rhythm during TTE n (%)30 (77) 18 (100)
heart rate during TTE (beats/min)68.44 ± 10.0468.9 ± 1.765.11 ± 10.4464.0 ± 2.6p = 0.256p = 0.139
LV average loops2 ± 0 2 ± 0
RV average loops2.53 ± 0.6 2.47 ± 0.7
LV
LVGLS auto 1−16.7 ± 4.1−17.2 ± 0.6−18.3 ± 2.6−17.3 ± 0.9p = 0.138p = 0.892
LVGLS 2dCPA−16.5 ± 4.0−16.9 ± 0.6−18.3 ± 2.8−17.3 ± 0.9p = 0.088p = 0.807
LVEF Simpson biplane (%) 252.9 ± 8.053.03 ± 1.256.3 ± 4.855.4 ± 1.8p = 0.100p = 0.338
LVEF triplane (%)51.1 ± 8.651.6 ± 1.354.7 ± 4.853.5 ± 1.9p = 0.105p = 0.410
E/e′ average (ratio) 311.4 ± 5.811.0 ± 0.911.1 ± 4.611.9 ± 1.4p = 0.652p = 0.630
E (cm/s) 383.0 ± 27.184.3 ± 4.679.4 ± 22.676.7 ± 7.1p = 0.647p = 0.397
e′ average (cm/s) 38.1 ± 2.78.5 ± 0.47.7 ± 2.46.8 ± 0.6p = 0.892 p = 0.026
IVSd maximal (mm)20.8 ± 4.620.3 ± 0.819.2 ± 4.820.1 ± 1.1p = 0.226p = 0.897
IVSd basal (mm)15.2 ± 3.814.9 ± 0.613.5 ± 3.814.3 ± 0.9p = 0.125p = 0.626
IVSd midventricular (mm)20.7 ± 4.620.2 ± 0.819.1 ± 4.720.1 ± 1.1p = 0.233p = 0.911
IVSd apical (mm)14.4 ± 4.614.1 ± 0.713.7 ± 4.314.3 ± 1.1p = 0.593p = 0.868
LVEDd (cm)3.03 ± 0.542.98 ± 0.12.94 ± 0.363.04 ± 0.11p = 0.527p = 0.693
LAVi MOD (mL/m2) 450.2 (37.8, 68.8)54.3 ± 4.742.5 (33.5, 49.9)50.1 ± 7.2p = 0.097p = 0.637
RV
RVLS 6 segments 2dCPA 5−24.1 ± 6.3−24.3 ± 1.0−26.9 ± 3.8−26.3 ± 1.5p = 0.062p = 0.285
RVLS free wall 2dCPA 5−29.1 ± 7.4−29.4 ± 1.2−30.9 ± 4.2−30.4 ± 1.8p = 0.395p = 0.643
RVFAC (%) 243.5 ± 10.943.7 ± 1.752.8 ± 7.452.4 ± 2.5 p = 0.002 p = 0.007
TRVmax (m/s) 62.6 ± 0.42.6 ± 0.12.5 ± 0.22.5 ± 0.1p = 0.206p = 0.390
TAPSE (mm) 721.9 ± 4.522.1 ± 0.822.2 ± 5.021.7 ± 1.3p = 0.823p = 0.798
RVEDd basal (mm) 238.4 ± 7.137.5 ± 1.234.3 ± 8.236.2 ± 1.8p = 0.059p = 0.551
RVWT (mm) 87.2 ± 1.77.2 ± 0.37.2 ± 2.07.2 ± 0.5p = 0.950p = 0.917
RA Area (cm2) 918.5 ± 1.018.3 ± 1.016.6 ± 1.617.3 ± 1.6p = 0.045p = 0.619
RAVi (mL/m2) 2,931.4 ± 19.129.1 ± 2.520.3 ± 7.425.3 ± 3.9 p = 0.003 p = 0.443

1 MYBPC3 (n = 34), MYH7 (n = 17). 2 MYBPC3 (n = 38). 3 MYBPC3 (n = 33), MYH7 (n = 15). 4 MYBPC3 (n = 35) MYH7 (n = 16). 5 MYBPC3 (n = 32), MYH7 (n = 15). 6 MYBPC3 (n = 25), MYH7 (n = 7). 7 MYBPC3 (n = 35), MYH7 (n = 14). 8 MYBPC3 (n = 31), MYH7 (n = 13). 9 MYH7 (n = 17). Bold, statistically significant. Abbreviatons: SD, standard deviation; IQR, interquartile range; SE, standard error; ANCOVA, analysis of covariance; TTE, transthoracic echocardiography; LV, left ventricule/ventricular; RV, right ventricle/ventricular; GLS, global longitudinal strain; auto, automatically generated; 2dCPA, 2D cardiac performance analysis; EF, ejection fraction; E, transmitral early diastolic velocity; e′, mitral annular early diastolic velocity; IVS, interventricular septum; d, diameter; ED, end-diastolic; LAVi, left atrial volume index; MOD, method of discs; LS, longitudinal strain; FAC, fractional area change; TRVmax, maximal tricuspid regurgitation velocity; TAPSE, tricuspid annular plane systolic excursion; WT, wall thickness; RAVi, right atrial volume index.

4. Discussion

This is the first study describing detailed genotype-phenotype correlations in sarcomeric HCM focusing on myocardial deformation markers of both RV and LV. There were no significant differences between MYBPC3 and MYH7 mutation carriers with regard to LV and RV longitudinal strain, respectively. In multivariate statistical models, only RVFAC and e’ were significantly different. However, while MYBPC3 mutation carriers had lower RVFAC suggesting a poorer RV function, they presented with higher e’ indicating better LV relaxation. In light of this ambiguity, these findings may be interpreted as effects of chance rather than as results of phenotypic differences related to the underlying mutations. The higher rate of ICD implantations in the MYBPC3 group may have confounded these associations as well. The reason for the suggestively earlier onset of symptoms, worse prognosis and more pronounced hypertrophy in MYH7 mutations [5,6,7,8,9] could be explained by functional differences between the proteins coded by MYBPC3 and MYH7. Cycling interaction between actin and myosin drives sarcomeric contraction through sliding of thick and thin filaments past one another, creating force that allows cardiomyocytes to contract and relax. Cardiac MyBPC (cMyBPC) regulates myocardial contractility, with reduced cMyBPC levels leading to hypercontractility and impaired relaxation. MYBPC3 mutations are supposed to cause HCM by haploinsufficiency. Myosin is a mechanoenzyme that drives ventricular contraction and produces force when binding actin and hydrolyzing ATP [4]. Most HCM causing MYH7 mutations cluster between residues 181 and 937, forming the myosin head domain and approximately 20% are located in the coiled coil region forming the thick filament [27]. Mutant myosins show altered parameters of myocardial contraction like actin gliding velocity, intrinsic force production, cross—bridge cycling kinetics, calcium sensitivity of force generation and acto-myosin ATPase activity leading to hypercontractility and impaired relaxation [27,28,29,30]. Consistent with previous results [31], causal MYH7 variants in our cohort were predominantly missense mutations (see Table S3). Pathogenic variants in MYBPC3 are predominantly truncating [7,32,33], which is in accordance with our results. Causal MYBPC3 variants in our cohort were primarily frameshift and splice site mutations (see Table S1). Only a few probands had disease causing missense mutations and there was one proband with an in-frame deletion and one with a nonsense mutation, respectively (see Tables S1 and S2). MYBPC3-associated HCM shows a later disease onset with a variability in the rate of progression even within a family, influenced by lifestyle, environment and other genetic factors [5,34]. The later age of onset is discussed as explanation for a relatively high proportion of founder mutations. All of them result in a shortened cMyBPC. Members of two families of our cohort carry a Dutch founder mutation (c.2864_2865delCT) [33]. A Tuscany founder mutation (c.772G > A) was detected in members of five families of our cohort [35]. Our results showed a higher age of disease onset in MYBPC3 patients. This is in line with a recent meta-analysis including 51 studies with 7675 HCM patients, where mutations in MYH7 were associated with earlier age of onset and higher risk of sudden cardiac death when compared to MYBPC3 [9]. In contrast, an earlier meta–analysis comprising 18 studies with 2459 patients found no differences in terms of symptoms, age of onset and grade of left ventricular hypertrophy between MYBPC3 and MYH7 mutation carriers [36]. Interestingly, MYBPC3 mutations carriers had significantly more often a history of ICD implantation. This is not in line with other and larger studies attributing a higher risk of SCD to MYH7 [8,9]. Patients with missense mutations affecting the actin binding site or the head–rod portion of β MHC showed decreased survival [37]. For instance, the p.Arg453Cys mutation in MYH7 is associated with a high incidence of end-stage heart failure and premature death [38]. Similarly, a significantly higher proportion of the MYBPC3 group had history of atrial fibrillation which is not in line with previous studies [9,39,40]. Both of these controversial observations are likely a consequence of referral bias in a tertiary HCM care center which is a well-known phenomenon in epidemiological research on HCM [41]. Only a few studies compared echocardiographic parameters between HCM genotypes although none explicitly reported results of RV myocardial deformation analyses. One recent multicenter study including 63 adult individuals evaluated the association between mutations in both genes and phenotypes in patients with sarcomeric HCM. They found that patients carrying a MYH7 mutation were similar to MYBPC3 carriers in the majority of measured echocardiographic parameters. Only systolic anterior motion of the mitral valve and mitral valve calcification were significantly more common in MYH7 mutation carriers [8]. It is well accepted that analysis of myocardial deformation markers is superior to standard echocardiographic parameters in detecting scar formation [15], predicting arrhythmias [42] and cardiovascular outcomes in HCM [43]. Evidence on differences of myocardial deformation markers between distinct HCM susceptibility genes is scarce. One previous study found that LV strain is similar between MYBPC3 and MYH7 mutation carriers. In this study the authors concluded that LV morphology rather than genotype predicts myocardial deformation markers in HCM [44]. However, RV myocardial deformation analyses were not included in their report. Particular strengths of our study include its novelty, since myocardial deformation, particularly of the RV, has not been sufficiently investigated in patients with sarcomeric HCM. A further strength of our study is the high quality of strain measurements which were performed by blinded investigators analyzing several cine loops per patient. Limitations of our study include the relatively low sample size and the single-center design. Moreover, characteristics of our cohort may be confounded by referral bias which may be inherent to our tertiary care setting, although we performed multivariate analysis to minimize this bias. Nevertheless, results may not be generalizable to other HCM populations.

5. Conclusions

Echocardiographic myocardial deformation parameters of both RV and LV were similar between MYBPC3 and MYH7 mutation carrying individuals with sarcomeric HCM. Myocardial deformation analysis may not be helpful in concluding on the underlying HCM genotype, and vice versa.
  44 in total

1.  Guidelines for the echocardiographic assessment of the right heart in adults: a report from the American Society of Echocardiography endorsed by the European Association of Echocardiography, a registered branch of the European Society of Cardiology, and the Canadian Society of Echocardiography.

Authors:  Lawrence G Rudski; Wyman W Lai; Jonathan Afilalo; Lanqi Hua; Mark D Handschumacher; Krishnaswamy Chandrasekaran; Scott D Solomon; Eric K Louie; Nelson B Schiller
Journal:  J Am Soc Echocardiogr       Date:  2010-07       Impact factor: 5.251

2.  Novel correlations between the genotype and the phenotype of hypertrophic and dilated cardiomyopathy: results from the German Competence Network Heart Failure.

Authors:  Stephan Waldmüller; Jeanette Erdmann; Priska Binner; Götz Gelbrich; Sabine Pankuweit; Christian Geier; Bernd Timmermann; Janine Haremza; Andreas Perrot; Steffen Scheer; Rolf Wachter; Norbert Schulze-Waltrup; Anastassia Dermintzoglou; Jost Schönberger; Wolfgang Zeh; Beate Jurmann; Turgut Brodherr; Jan Börgel; Martin Farr; Hendrik Milting; Wulf Blankenfeldt; Richard Reinhardt; Cemil Özcelik; Karl-Josef Osterziel; Markus Loeffler; Bernhard Maisch; Vera Regitz-Zagrosek; Heribert Schunkert; Thomas Scheffold
Journal:  Eur J Heart Fail       Date:  2011-07-12       Impact factor: 15.534

3.  Prognostic Value of Global Longitudinal Strain in Hypertrophic Cardiomyopathy: A Systematic Review of Existing Literature.

Authors:  Albree Tower-Rader; Divyanshu Mohananey; Andrew To; Harry M Lever; Zoran B Popovic; Milind Y Desai
Journal:  JACC Cardiovasc Imaging       Date:  2018-09-12

4.  Current and evolving echocardiographic techniques for the quantitative evaluation of cardiac mechanics: ASE/EAE consensus statement on methodology and indications endorsed by the Japanese Society of Echocardiography.

Authors:  Victor Mor-Avi; Roberto M Lang; Luigi P Badano; Marek Belohlavek; Nuno Miguel Cardim; Geneviève Derumeaux; Maurizio Galderisi; Thomas Marwick; Sherif F Nagueh; Partho P Sengupta; Rosa Sicari; Otto A Smiseth; Beverly Smulevitz; Masaaki Takeuchi; James D Thomas; Mani Vannan; Jens-Uwe Voigt; José Luis Zamorano
Journal:  J Am Soc Echocardiogr       Date:  2011-03       Impact factor: 5.251

5.  Genetic characterization and genotype-phenotype associations in a large cohort of patients with hypertrophic cardiomyopathy - An ancillary study of the Portuguese registry of hypertrophic cardiomyopathy.

Authors:  Luis Rocha Lopes; Dulce Brito; Adriana Belo; Nuno Cardim
Journal:  Int J Cardiol       Date:  2018-12-06       Impact factor: 4.164

Review 6.  Cardiomyopathy: a systematic review of disease-causing mutations in myosin heavy chain 7 and their phenotypic manifestations.

Authors:  R Walsh; C Rutland; R Thomas; S Loughna
Journal:  Cardiology       Date:  2009-10-27       Impact factor: 1.869

7.  Genetic determinants of clinical phenotype in hypertrophic cardiomyopathy.

Authors:  Lazar Velicki; Djordje G Jakovljevic; Andrej Preveden; Miodrag Golubovic; Marija Bjelobrk; Aleksandra Ilic; Snezana Stojsic; Fausto Barlocco; Maria Tafelmeier; Nduka Okwose; Milorad Tesic; Paul Brennan; Dejana Popovic; Arsen Ristic; Guy A MacGowan; Nenad Filipovic; Lars S Maier; Iacopo Olivotto
Journal:  BMC Cardiovasc Disord       Date:  2020-12-09       Impact factor: 2.298

8.  Women with hypertrophic cardiomyopathy have worse survival.

Authors:  Jeffrey B Geske; Kevin C Ong; Konstantinos C Siontis; Virginia B Hebl; Michael J Ackerman; David O Hodge; Virginia M Miller; Rick A Nishimura; Jae K Oh; Hartzell V Schaff; Bernard J Gersh; Steve R Ommen
Journal:  Eur Heart J       Date:  2017-12-07       Impact factor: 29.983

9.  Echocardiographic reference ranges for normal left ventricular 2D strain: results from the EACVI NORRE study.

Authors:  Tadafumi Sugimoto; Raluca Dulgheru; Anne Bernard; Federica Ilardi; Laura Contu; Karima Addetia; Luis Caballero; Natela Akhaladze; George D Athanassopoulos; Daniele Barone; Monica Baroni; Nuno Cardim; Andreas Hagendorff; Krasimira Hristova; Teresa Lopez; Gonzalo de la Morena; Bogdan A Popescu; Marie Moonen; Martin Penicka; Tolga Ozyigit; Jose David Rodrigo Carbonero; Nico van de Veire; Ralph Stephan von Bardeleben; Dragos Vinereanu; Jose Luis Zamorano; Yun Yun Go; Monica Rosca; Andrea Calin; Julien Magne; Bernard Cosyns; Stella Marchetta; Erwan Donal; Gilbert Habib; Maurizio Galderisi; Luigi P Badano; Roberto M Lang; Patrizio Lancellotti
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2017-05-01       Impact factor: 6.875

10.  Hypertrophic cardiomyopathy β-cardiac myosin mutation (P710R) leads to hypercontractility by disrupting super relaxed state.

Authors:  Alison Schroer Vander Roest; Chao Liu; Makenna M Morck; Kristina Bezold Kooiker; Gwanghyun Jung; Dan Song; Aminah Dawood; Arnav Jhingran; Gaspard Pardon; Sara Ranjbarvaziri; Giovanni Fajardo; Mingming Zhao; Kenneth S Campbell; Beth L Pruitt; James A Spudich; Kathleen M Ruppel; Daniel Bernstein
Journal:  Proc Natl Acad Sci U S A       Date:  2021-06-15       Impact factor: 11.205

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  2 in total

1.  Homozygous Pro1066Arg MYBPC3 Pathogenic Variant in a 26Mb Region of Homozygosity Associated with Severe Hypertrophic Cardiomyopathy in a Patient of an Apparent Non-Consanguineous Family.

Authors:  Raquel Rodríguez-López; Javier García-Planells; Marina Martínez-Matilla; Cristian Pérez-García; Amor García Banacloy; Carola Guzmán Luján; Otilia Zomeño Alcalá; Joaquina Belchi Navarro; Juan Martínez-León; Rafael Salguero-Bodes
Journal:  Life (Basel)       Date:  2022-07-12

2.  Comprehensive analysis of RNA m6A methylation in pressure overload-induced cardiac hypertrophy.

Authors:  Weidong Li; Chenxv Xing; Limeng Bao; Shengna Han; Tianxia Luo; Zhiju Wang; Hongkun Fan
Journal:  BMC Genomics       Date:  2022-08-11       Impact factor: 4.547

  2 in total

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